Introducing Monotone Enriched Nonexpansive Mappings for Fixed Point Approximation in Ordered CAT(0) Spaces
Abstract
:1. Introduction
- (i)
- a nonexpansive for all we have
- (ii)
- an enriched nonexpansive if ∃∀ we have
2. Preliminaries
- 1.
- For and , we have
- 2.
- For and , we have
3. Monotone Enriched Nonexpansive Mappings in Ordered CAT(0) Spaces
- If and and , we have
- If and and , we have
- If and and , we have
- If and , we have
4. Some -Convergence and Strong Convergence Theorems
- (i)
- ,
- (ii)
- , provided -converges to a point .
- (i)
- We establish the result through induction on .
- (ii)
- Suppose is a -limit of the sequence . By the result in part (i), we know that for all . Therefore, the sequence is monotonically increasing, and the order interval is both closed and convex. Thus, it must be the case that for a specific . If is not in the interval , then the AC of the subsequence , obtained by excluding the initial terms from the sequence , cannot be . This refutes the assumption that is a -limit of the sequence , thus concluding the proof of part (ii).
- (i)
- exists,
- (ii)
- .
5. Numerical Example
- If and .Since and notice that is increasing, we have which givesSo, is a -enriched monotone map. Now, consider
- If and .Since , we have which givesSo, is a -enriched monotone map. Now, considerThus, is a -MENEM.
- The rate at which the New IS (9) converges for the MENEM being considered is influenced by both the parameter and the initial point .
- If the initial point is and , the convergence of the new IS slows down as the parameter approaches 1 (see Figure 1).
- For (refer to Table 1), the fastest convergence of the new IS occurs when the parameter is at (after one iteration, the exact FP value is obtained).
- For , MRN IS converges as slowly as the value of the parameter approaches 1.
- MRN IS converges faster than the New IS for the value of the parameter and (see Figure 2).
- We conclude that the convergent behaviour of the New and MRN IS is similar in terms of the ip and the parameter . Nevertheless, for all scenarios analyzed with parameters and an initial value of , the MRN IS demonstrates a slow convergence rate.
- For ip , and for the value of parameter (see Table 2), New IS converges faster than S, Thakur, F and Abbas IS.
6. Application to Integral Equations
- (i)
- ,
- (ii)
- is a measurable and satisfies the condition
7. Conclusions and Future Works
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
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New | MRN | New | MRN | New | MRN | New | MRN | New | MRN |
0.80000 | 0.80000 | 0.80000 | 0.80000 | 0.80000 | 0.80000 | 0.80000 | 0.80000 | 0.80000 | 0.80000 |
0.99617 | 0.98068 | 1.00020 | 1.01190 | 0.94844 | 1.06925 | 0.92853 | 1.07743 | 0.82721 | 1.09973 |
0.99986 | 0.99721 | 1.00000 | 1.00000 | 0.98795 | 0.98173 | 0.97616 | 0.97644 | 0.85512 | 0.95792 |
0.99999 | 0.99957 | 1.00000 | 1.00000 | 0.99728 | 1.00497 | 0.99229 | 1.00725 | 0.88014 | 1.01660 |
1.00000 | 0.99999 | 1.00000 | 1.00000 | 0.99939 | 0.99878 | 0.99754 | 0.99799 | 0.90155 | 0.99362 |
1.00000 | 1.00000 | 1.00000 | 1.00000 | 0.99987 | 1.00039 | 0.99922 | 1.00065 | 0.91952 | 1.00242 |
1.00000 | 1.00000 | 1.00000 | 1.00000 | 0.99997 | 1.00032 | 0.99975 | 0.99989 | 0.93431 | 0.99914 |
1.00000 | 1.00000 | 1.00000 | 1.00000 | 0.99999 | 0.99999 | 0.99992 | 1.00000 | 0.94662 | 1.00031 |
1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 0.99998 | 1.00000 | 0.95661 | 0.99999 |
1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 0.99999 | 1.00000 | 0.96484 | 1.00000 |
1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 0.97152 | 1.00000 |
1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 1.00000 | 0.97690 | 1.00000 |
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Khan, S.H.; Anjum, R.; Ismail, N. Introducing Monotone Enriched Nonexpansive Mappings for Fixed Point Approximation in Ordered CAT(0) Spaces. Computation 2025, 13, 81. https://doi.org/10.3390/computation13040081
Khan SH, Anjum R, Ismail N. Introducing Monotone Enriched Nonexpansive Mappings for Fixed Point Approximation in Ordered CAT(0) Spaces. Computation. 2025; 13(4):81. https://doi.org/10.3390/computation13040081
Chicago/Turabian StyleKhan, Safeer Hussain, Rizwan Anjum, and Nimra Ismail. 2025. "Introducing Monotone Enriched Nonexpansive Mappings for Fixed Point Approximation in Ordered CAT(0) Spaces" Computation 13, no. 4: 81. https://doi.org/10.3390/computation13040081
APA StyleKhan, S. H., Anjum, R., & Ismail, N. (2025). Introducing Monotone Enriched Nonexpansive Mappings for Fixed Point Approximation in Ordered CAT(0) Spaces. Computation, 13(4), 81. https://doi.org/10.3390/computation13040081